Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Multivariable: Space and Functions or This is an initial release of this module containing two scripts. Please bookmark this page or sign up for notifications for updates. Curriculum Module Created ...

We present a geometric framework for explicit derivation of multivariate sampling functions (sinc) on multidimensional lattices. The approach leads to a generalization of the link between sinc ...

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Learning a function from input and output data pairs is one of the most fundamental tasks in machine learning. In this work, we propose a generalization of the Canonical Polyadic Decomposition (CPD) ...

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Spread the loveFinding the extrema of a multivariable function is an essential skill in calculus and applied mathematics. This process allows you to determine the minima and maxima of a function ...

IDG Figure 1. A diagram of the neural network we’ll use for our example. The idea in backpropagation with gradient descent is to consider the entire network as a multivariate function that ...